{"id":156205,"url":"https://alion.io/job/databricks-staff-forward-deployed-engineer","title":"Staff Forward Deployed Engineer","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":860,"ghost_share":0.26,"stale_share":0,"repost_share":0.001,"time_to_fill_p50_days":76,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["US","IN"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":67000,"period":"year","method":"role_seniority_country_cell","sample_n":37},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Context Engineering","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-07-08T10:09:48Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-23T05:29:24Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":106},"description":"CSQ427R195\nAs a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors. \nThe impact you will have:\nCollaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.\nAdvise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.\nProvide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.\nPartner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.\nSimultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.\nWhat we look for:\n15+ years experience withBig Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role\n6+ years of experience working on Big Data Architectures independently\n2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc.\nStrong experience working in the Databricks ecosystem\nComfortable writing code in either Python or Scala.\nExperience working across Cloud Platforms (GCP / AWS / Azure)\nDocumentation and white-boarding skills.\nExcellent problem solving and critical thinking skills that turn business problems in to reliable technical products\nBuild skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.\nExcellent stakeholder management skills to collaborate with both technical and domain experts\nHighly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world\nAbout Databricks\nDatabricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.\nBenefits\n At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.\nOur Commitment to Diversity and Inclusion\nAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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